#最近鄰
import numpy as np
from numpy import linalg as la
from sklearn.neighbors import nearestneighbors
m=np.array(["你吃飯了嗎","今天的花兒很好看","簡直不能更完美","你喜歡吃辣椒嗎","天氣很完美","這個花兒長的像辣椒"])
x = np.array([[-1,-1],
[-2,-1],
[-3,-2],
[1,1],
[2,1],
[3,2]
])
nbrs = nearestneighbors(n_neighbors=3, algorithm="ball_tree").fit(x)
#返回距離每個點k個最近的點和距離指數，indices可以理解為表示點的下標，distances為距離
distances, indices = nbrs.kneighbors(x)
print(indices[4])
for i in indices[4]:
print(m[i])
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